With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
- @tmcgrath
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Geographer, Program Manager, Engineering Manager
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Dzanga-Ndoki national park biodiversity monitoring
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- @derekrisch
- | He/Him
I'm a conservation ecologist working on invasive mammalian species. Use a variety of monitoring methods which provide an enormous amount of data (yay!) but require a lot of effort to process (nay!). Love keeping up to date on newest tech.
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @cleo
- | She/Her
Southern African Wildlife College
I am ecologist working in African conservation areas who loves wildlife & wild landscapes. I increasingly recognize that conservation is about people, especially those living in & around protected areas. Finding ways to benefit marginalized people is my passion.
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Technologist, birder, photographer and mountain guide.
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- @vandita_shukla
- | she/her
PhD candidate studying drone flight planning for enabling tracking and identification of individual characteristics of wildlife; member of the WildDrone, an MSCA Doctoral Network funded by the European Union’s Horizon Europe research
- 0 Resources
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- 20 Groups
Exciting opportunity for an experienced biodiversity monitoring expert in ZSL's conservation department
18 July 2023
Apply for funding (£500,000-£750,000) to develop software systems, which will help to improve biodiversity monitoring by automating the analysis of images and videos
12 July 2023
We are seeking applications from promising early-career scientists and data scientists with interesting, innovative, and viable research ideas for the Future Leader Fellowship
12 July 2023
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At Appsilon, we are always working to enable our users to get the most out of our solutions. With this in mind, we are happy to introduce two new add-ons to Mbaza AI.
4 July 2023
Apply to work with an absolutely all-star group developing AI/ML techniques and models for acoustic monitoring!
28 June 2023
The GSMA ClimateTech programme
21 June 2023
PhD opportunity aims at developing novel imaging methods and deep learning algorithms to describe and classify earthworms at Aarhus University.
21 June 2023
JICA, Japan’s International Cooperation Agency is seeking a digital partner with a proven track record in conservation technology as we launch a pilot project to test technologies to mitigate human-elephant conflict in...
19 June 2023
If you are passionate about making a difference in the world, enthusiastic about biodiversity, and excited about the potential of AI, check out this role!
15 June 2023
Job opportunity in Leiden, The Netherlands
9 June 2023
This May, AI for the Planet Alliance announced the Winners and Finalists for its 2022 call for solutions focused on advancing promising AI solutions that combat climate change and we think you should check them out!
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Description | Activity | Replies | Groups | Updated |
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Yes please reach out with any questions on acoustic monitoring, Arbimon, RFCx, etc.! |
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Acoustics, AI for Conservation, Data management and processing tools | 1 year 1 month ago | |
I couldn't agree more with both of these comments tom! I'm reading hundreds (literally hundreds) of applications for open WILDLABS roles at the moment, and the ones that stand out... |
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AI for Conservation, Drones, Early Career, Sensors | 1 year 2 months ago | |
We have made available our underwater videos on YouTube as a playlist https://www.youtube.com/playlist?list=PLnhVZKKy8WkZKriCIV6r7upWhHNVrU_7L It's about 1.113 short video... |
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AI for Conservation, Camera Traps, Data management and processing tools, Marine Conservation | 1 year 2 months ago | |
Hi Steph, This should be a simple project. Recently I came across a website with a sample video I am not sure whether it was from the wild Labs website. Where a camera is... |
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AI for Conservation, Camera Traps | 1 year 3 months ago | |
Bluesky have a commercial tree crown dataset available covering most of Great Britain (England, Wales and parts of Scotland). There is a canopy layer with approximate outlines of... |
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AI for Conservation, Drones | 1 year 3 months ago | |
Rainforest Connection's (RFCx) Guardian devices may be of interest. They are solar-powered and have connectivity options for Wifi, GSM and satellite transfer. They've previously... |
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Acoustics, AI for Conservation, Connectivity, Data management and processing tools, Protected Area Management Tools, Sensors | 1 year 3 months ago | |
My original background is in ecology and conservation, and am now in the elected leadership of the Gathering for Open Science Hardware which convenes researchers developing open... |
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AI for Conservation, Biologging, Camera Traps, Conservation Tech Training and Education, Data management and processing tools, Drones, Emerging Tech, Sensors | 1 year 4 months ago | |
Hi Sophie, Can you please help me or get in touch in developing a system where we are able to detect an Elephant? Would like to discuss more about it. Kindly treat this as urgent!! |
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AI for Conservation | 1 year 4 months ago | |
Hello All - @sarabeery et Al have just put a pre-print out on their educational insights into teaching Computer Vision to ecologists. I... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Early Career, Emerging Tech | 1 year 4 months ago | |
The Conservation Technology Lab at San Diego Zoo seeks undergrads for summer projects in computer vision, machine learning, bioacoustics,... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education | 1 year 5 months ago | |
I just came across this interesting paper in which seismic monotoring of animals like elephants was mentioned. This is the study refered to:Cheers,Lars |
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AI for Conservation, Camera Traps, Emerging Tech, Ethics of Conservation Tech, Human-Wildlife Conflict, Remote Sensing & GIS, Sensors | 1 year 5 months ago | |
Quick reminder that the deadline for applications is just shy of a week away. This workshop is particularly geared to teach ecologists computer vision tools to apply to their... |
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Conservation Tech Training and Education, AI for Conservation | 1 year 5 months ago |
New paper - 'soundClass: An automatic sound classification tool for biodiversity monitoring using machine learning'
1 September 2022 8:53pm
Silva et al -
- R package to train convolutional neural networks & employ them to classify sounds
- sound event classification pipeline, from annotating recordings to automating
trained networks
- case studies with bat & whale echolocation calls, bird songs
Introducing G.AI.A: Artificial Intelligence and Planetary-Scale Environmental Management
31 August 2022 10:25pm
Mara Predators Hackathon
30 August 2022 1:28pm
Research Associate in Conservation Ecology at QUT
29 August 2022 2:54pm
Conservation Technology Research Internship
26 August 2022 4:58pm
Postdoc in the application of AI for wildlife conservation & management
26 August 2022 11:47am
Online Hackathon: Predators conservation in the Maasai Mara
22 August 2022 10:32am
Ceres Wild Rhino application
22 August 2022 1:29am
Lead Software Engineer for ARISE
19 August 2022 8:22am
Lead Software Engineer, Wildlife Insights
10 August 2022 11:06pm
Research Technician - Unoccupied Aircraft Systems Pilot and Geospatial Analyst
10 August 2022 10:40pm
Building a simple AI-powered, human-in-the-loop system to manage wildlife camera trap images & annotations
10 August 2022 8:12pm
Hi folks! I built out a human-in-the-loop annotation platform for Felidae Conservation Fund, a SF-Bay Area nonprofit last Fall using MegaDetector. I'm looking for feedback from this amazing community around areas of collaboration, especially data/software resources we can share!
3yr Postdoctoral Associate: Remote Sensing and Unoccupied Aircraft Systems
10 August 2022 5:29pm
Catch Up with the WILDLABS Variety Hour: August 2022
10 August 2022 11:44am
Technology may solve climate change problems, but it’s also causing them | VentureBeat
8 August 2022 11:26am
Interesting thought piece from Mark Minevitch (AI for Good) et al. on the promise of AI and other ICT innovation to deliver on climate challenges, existing ICT sector emissions - and the three types of carbon lock-in which need to be actively managed (behavioural, digital, infrastructure).
'The danger is that the promises of digital technology can blind us to its less-recognized contributions to climate woes. Emissions from the ICT sector already rival those of the airline industry. Moreover, the few studies done so far (a,b,c) suggest the ICT sector’s emissions will at least double to 2-3 GTCO2e and if the rise in global GHG emissions is limited to 1.5˚C by 2030, contribute approximately 10% of the global GHG burden — nearly equal to that of the automotive industry. And these are cautious estimates.'
Can deep learning identify seabirds? (species, within-species, individual)
25 May 2022 8:24pm
21 June 2022 4:55pm
Update: I asked the same question on twitter so I'm sharing answers I got there:
With quality photos and good labeled training data, I would say definitely doable! @ultralytics and their #YOLOv5 models would be a cool place to start!
— Abram B. Fleishman (@abfleishman) May 26, 2022
Let's chat! We've been training models to run on trail cameras as images/videos are captured, and have worked on migratory birds along coastlines (more info: https://t.co/NzW4GO2Wqp)
— Henrik Cox (@henrik_cox) June 1, 2022
Have a look at this paper:https://t.co/pmvrmvJAuS
— Damien R. Farine (@DamienFarine) May 27, 2022
Individual identification needs tens of pictures per individual of known individuals as training data, which will be the challenge here.
Absolutely feasible, to learn how to train a CNN to identify species from satellite images I did a few tutorials on ID species from photographs. With the right training dataset it should be fairly straightforward. For individuals? Easier on species with clear markers (fins).
— Samanta's Wildlife (@SamantaWildlife) May 27, 2022
21 June 2022 5:41pm
Hi Yvan,
I dropped this into the AI for Conservation slack group as well, you got this reply this morning:
Steph
8 August 2022 11:12am
Hi Yvan,
If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.
In the same idea that Ultralytics, there is :
Which could probably answer your first and second requirements.
And find here a great website showing all the IA-based camera software, you may find solutions or contact throw this list:
Tiger, Tiger, in the Night... Now Visible in Real Time
5 August 2022 4:07pm
What is embedded ML, anyway?
5 August 2022 3:48pm
Biological Data Science Summer Workshop
5 August 2022 3:03pm
Wild Me is hiring
Identify animal from Image
2 August 2022 1:37am
2 August 2022 2:54am
Hi Jitendra.
If they are still images, many people are using Megadetector to analyze their images. I'm not sure how it will do in species classification, but it can tell you if there are images of interest in the shots. Others here can probably give you more detailed instructions on how to use it to batch process camera trap images.
2 August 2022 10:24am
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a solution
CERES TAG
22 July 2022 3:36am
Earth Species Project - Senior AI Research Scientist
15 July 2022 6:40pm
The Foes and Floes of Labelling Aerial Pictures Manually
13 July 2022 12:43am
PyTorch Developer/Data Scientist at Pl@ntNet
7 July 2022 5:27pm
Hello there
1 July 2022 5:00pm
Intro webinar - The Biodiversity Digital Twin: a new solution to support protection & restoration of ecosystems
30 June 2022 1:22am
New Conservation Tech Directory update
27 June 2022 4:45pm
29 September 2022 4:05am